
We are required to reject \(H_0\)  to have evidence that there are indeed differences between the pseudo-absence generation methods used for training the different algorithms as well as the presence-background MaxEnt approach. Our significance level, i.e. the point at which the probability of equal mean performances under the null hypothesis is low enough to reject the null hypothesis, is set to \(\alpha = 0.05\) . If \(H_0\)  is rejected, we can continue with more specific pairwise tests, with appropriate \(p\) -value adjustments to control for the family-wise error [1]}.
